Triple

T14253893
Position Surface form Disambiguated ID Type / Status
Subject Arc of Infinity E353336 entity
Predicate featuresCharacter P626 FINISHED
Object Maxil
Maxil is a Time Lord and stern Gallifreyan security officer from the Doctor Who universe, notably portrayed by Colin Baker before he became the Sixth Doctor.
E1089689 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maxil | Statement: [Arc of Infinity, featuresCharacter, Maxil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maxil
Context triple: [Arc of Infinity, featuresCharacter, Maxil]
  • A. Max
    Max is a subscription-based streaming service owned by Warner Bros. Discovery that offers a wide range of films, series, and original programming.
  • B. Max
    Max is the ruthless and enigmatic CIA operative who serves as the primary villain in the 2010 action film "The Losers."
  • C. Max
    Max is a film for which acclaimed Hungarian cinematographer Lajos Koltai served as director of photography.
  • D. Max
    Max is the loyal Old English Sheepdog who serves as Prince Eric’s beloved canine companion in Disney’s "The Little Mermaid."
  • E. Max
    Max is the central protagonist of the French romantic drama film "L'Appartement," around whom the story’s intricate web of love, obsession, and mistaken identity revolves.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maxil
Triple: [Arc of Infinity, featuresCharacter, Maxil]
Generated description
Maxil is a Time Lord and stern Gallifreyan security officer from the Doctor Who universe, notably portrayed by Colin Baker before he became the Sixth Doctor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maxil
Target entity description: Maxil is a Time Lord and stern Gallifreyan security officer from the Doctor Who universe, notably portrayed by Colin Baker before he became the Sixth Doctor.
  • A. Max
    Max is a subscription-based streaming service owned by Warner Bros. Discovery that offers a wide range of films, series, and original programming.
  • B. Max
    Max is the ruthless and enigmatic CIA operative who serves as the primary villain in the 2010 action film "The Losers."
  • C. Max
    Max is a film for which acclaimed Hungarian cinematographer Lajos Koltai served as director of photography.
  • D. Max
    Max is the loyal Old English Sheepdog who serves as Prince Eric’s beloved canine companion in Disney’s "The Little Mermaid."
  • E. Max
    Max is the central protagonist of the French romantic drama film "L'Appartement," around whom the story’s intricate web of love, obsession, and mistaken identity revolves.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325c98288190ba035fb5cc5bcf6b completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd33cba18481908f2dfe358017f11b completed May 8, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd346ffb9c81909ec28e514ea5451b completed May 8, 2026, 12:55 a.m.
Created at: April 10, 2026, 1:09 a.m.